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RECSYS
2015
ACM
4 years 2 months ago
Asymmetric Recommendations: The Interacting Effects of Social Ratings? Direction and Strength on Users' Ratings
In social recomendation systems, users often publicly rate objects such as photos, news articles or consumer products. When they appear in aggregate, these ratings carry social si...
Oded Nov, Ofer Arazy
RECSYS
2015
ACM
4 years 2 months ago
Overlapping Community Regularization for Rating Prediction in Social Recommender Systems
Recommender systems have become de facto tools for suggesting items that are of potential interest to users. Predicting a user’s rating on an item is the fundamental recommendat...
Hui Li, Dingming Wu, Wenbin Tang, Nikos Mamoulis
ASUNAM
2015
IEEE
4 years 2 months ago
Leveraging Rating Behavior to Predict Negative Social Ties
—User social networks are a useful information for many information access related tasks, such as recommendation or information retrieval. In such tasks, recent papers have explo...
Luc-Aurélien Gauthier, Benjamin Piwowarski,...
RECSYS
2009
ACM
10 years 1 months ago
FeedbackTrust: using feedback effects in trust-based recommendation systems
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...
UM
2007
Springer
10 years 1 months ago
Push-Poll Recommender System: Supporting Word of Mouth
Abstract. Recommender systems produce social networks as a side effect of predicting what users will like. However, the potential for these social networks to aid in recommending i...
Andrew Webster, Julita Vassileva
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